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數(shù)據(jù)分享|GIMMS NDVI數(shù)據(jù)下載

2022-11-20 22:14 作者:果子貍愛吃大果子  | 我要投稿

該數(shù)據(jù)集是NOAA的Advanced Very High Resolution Radiometer (AVHRR)傳感器獲取的長(zhǎng)時(shí)間序列的NDVI數(shù)據(jù)。GIMMS NDVI3g 有兩個(gè)版本,GIMMS NDVI3g.V0和GIMMS NDVI3g.V1。GIMMS NDVI3g.V1覆蓋全球范圍,時(shí)間范圍1981-2015年,空間分辨率1/12°,時(shí)間分辨率為15天。是目前時(shí)間范圍最長(zhǎng)的NDVI數(shù)據(jù)產(chǎn)品。與前幾代AVHRR產(chǎn)品相比,GIMMS NDVI3g精度更高,受大氣水汽、火山爆發(fā)等的影響較小。

Temporalrange: 1981-07-01 -> 2015-12-31

RangeSemester: Jul 1 - Dec 31 (7:0.5:12.5)

SpatialResolution: 1/12 x 1/12 degrees

TemporalResolution: 1/24 a year

_fill_val: -32768

NorthernmostLatitude: 90

SouthernmostLatitude: -90

WesternmostLongitude: -180

EasternmostLongitude: 180

Flag values are embeded on the percentile variable: ? ? ? 2000*flag + percentile. Thus, the actual percentile three ranges[0 1000],[2000 3000]and [4000 5000] could provide direct information of how interpolation is affecting the time series.?

Flag values are (simpler):?

flag0: ndvi without apparent issues (good value) ? ? ? ? ? ??

flag1: ndvi retrieved from spline interpolation ? ? ? ? ? ? ? ??

flag2: ndvi retrieved from seasonal profile (possible snow/cloud)? ? ?

percentile:to represent the distribution of ndvi values in the time series. Range 10*[0, 100]?

storage:Arranged data in ncd format, compiled it in two nc4 files a year. ?Each nc4 file includes 6 months of ndvi data (jan-jun and jul-dec), with a total of 12 (15-day) composites each semester.


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